Automatic image-based 3D modeling for medical applications

This paper presents a photogrammetric procedure for human back shape reconstruction. The system is almost fully automated and provides an accurate 3D model by using a processing chain based on different image-matching algorithms. The method can be properly tuned to deal more effectively with different image datasets thanks to the optional choice between techniques and input parameters. This allows the operator to handle a random number of images, acquired with fixed or even hand-held sensors under different image network geometry.